Basic Information
The Course Will Investigate Ways of Analyzing Data in The Surgical Domain, Especially Related to The Operating Room. Data Will Include Video, Audio, Patient Monitor and Additional Sensors. We Will Study Fundamental Algorithms in Computer Vision and Video Segmentation, For Example# Object Deteaction (yolo, Agnet), Temporal Video Segmentation (lstm, Ms-tcn++, Asformer) and Automatic Process Analysis. We Will Study Ways of Implementing These Algorithms in The Surgical Domain, For Example Automatic Surgical Tool Detection, Surgical Hand Detection and Motion Analysis, Surgical Gesture Recognition And Automatic Surgical Workflow Analysis. Learning Outcomes# At The End of The Course Students Will Be Able To# 1) Identify Different Surgical Approaches and Their Data_. 2) Solve Object Detection and Cassification Tasks Using Deep Neural Networks (dnn). 3) Program Temporal Networks For Surgical Workflow Analysis. 4) Solve Automatic Gesture Recognition. 5) Integrate Motion Data and Video Data.
Faculty: Data and Decision Sciences
|Undergraduate Studies
|Graduate Studies
Pre-required courses
46211 - Deep Learning or 97200 - Deep Learning or 97209 - Machine Learning 2 or 236781 - Deep Learning On Computation